Strong basis in fundamental statistical concepts and methods and familiarity with techniques such as development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques, etc.
Familiarity with machine learning techniques and Bayesian statistics is a plus.
Strong statistical programming skills with standard software, including SAS, R, STATA, R, Python, etc.
Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly.
Ability to communicate effectively, in non-technical terms, with project team members.
Ability to work well in a team as well as independently.
Qualifications
MSc or PhD in Health Economics, Biostatistics, Statistics, or related fields with one or more years of relevant experience
Competent in written and spoken English
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